Two and three-bladed propeller design for the reduction of radiated noise

Patrick, Howard; Finn, Ronald W.; Stich, Chandra K.

doi:10.2514/6.1997-1710

Cited by 8 publications

(5 citation statements)

References 1 publication

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“…First, the optimal propeller in aerodynamic terms is defined (i.e., with maximum efficiency). Then, the resulting propeller is further modified in order to improve its acoustic properties [48,58,59]. This is the "classical" procedure for quiet propeller design, but such an iterative process presents some complications.…”

Section: Optimized Geometrymentioning

confidence: 99%

Small-Scale Rotor Aeroacoustics for Drone Propulsion: A Review of Noise Sources and Control Strategies

Candeloro

Ragni

Pagliaroli

2022

Fluids

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In the last decade, the drone market has grown rapidly for both civil and military purposes. Due to their versatility, the demand for drones is constantly increasing, with several industrial players joining the venture to transfer urban mobility to the air. This has exacerbated the problem of noise pollution, mainly due to the relatively lower altitude of these vehicles and the proximity of their routes to extremely densely populated areas. In particular, both the aerodynamic and aeroacoustic optimization of the propulsive system and of its interaction with the airframe are key aspects of unmanned aerial vehicle design that can signify the success or the failure of their mission. The industrial challenge involves finding the best performance in terms of loading, efficiency and weight, and, at the same time, the most silent configuration. For these reasons, research has focused on an initial localization of the noise sources and, on further analysis, of the noise generation mechanism, focusing particularly on directivity and scattering. The aim of the present study is to review the noise source mechanisms and the state-of-the-art control strategies, available in the literature, for its suppression, focusing especially on the fluid-dynamic aspects of low Reynolds numbers of the propulsive system and on the interaction of the propulsive system flow with the airframe.

show abstract

Section: Optimized Geometrymentioning

confidence: 99%

Small-Scale Rotor Aeroacoustics for Drone Propulsion: A Review of Noise Sources and Control Strategies

Candeloro

Ragni

Pagliaroli

2022

Fluids

View full text Add to dashboard Cite

show abstract

“…with maximum efficiency). Then, the resulting propeller is further modified in order to improve its acoustic properties [28,38,39]. This is the "classical" procedure for quiet propeller design, but such an iterative process presents some complications.…”

Section: Optimized Geometrymentioning

confidence: 99%

Small-Scale Rotor Aeroacoustics for Drone Propulsion: A Review of Noise Sources and Control Strategies

Candeloro¹,

Pagliaroli²,

Ragni³

et al. 2019

Preprint

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In the last decade, the drone market has grown rapidly for both civil and military purposes. Due to their versatility, drones demand is constantly increasing, with several industrial players joining the venture to transfer urban mobility to the air. This has exacerbated the problem of noise pollution, mainly due to the relatively lower altitude of these vehicles and to the proximity of their routes to extremely densely populated areas. In particular, both the aerodynamic and aeroacoustic optimization of the propulsive system and of its interaction with the airframe are key aspects of the design of aerial vehicles for the success or the failure of their mission. The industrial challenge involves finding the best performance in terms of loading, efficiency and weight, and, at the same time, the most silent configuration. For this reason, research has focused on an initial localization of the noise sources and, on further analysis, of the noise generation mechanism, focusing particularly on directivity and scattering. The aim of the present study is to review the noise source mechanisms and the state-of-the-art technologies available in literature for its suppression, focusing especially on the fluid-dynamic aspects of low Reynolds numbers of the propulsive system and on the interaction of the propulsive-system flow with the airframe.

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“…The internal-resistance parameter B Ra is defined by Eq. (9). Figure 17 presents loiter time and optimal mass breakdown as functions of the internal-resistance parameter.…”

Section: B Motor Speed-constant Parameter B Kvmentioning

confidence: 99%

“…Then this propeller is modified to fulfill other goals. Such a process has been used extensively [7][8][9]. The main disadvantage of such an iterative process is that it does not ensure that the final design will be optimal.…”

mentioning

confidence: 99%

Optimizing Electric Propulsion Systems for Unmanned Aerial Vehicles

Gur

Rosen

2009

Journal of Aircraft

124

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Design of an electric propulsion system for an unmanned aerial vehicle incorporates various disciplines such as the propeller's aerodynamic and structural properties, characteristics of the electric system, and characteristics of the vehicle itself. This makes the design of this propulsion system a multidisciplinary design optimization task. Although the present propeller model is based on previous derivations that are described very briefly, new models of the electric motor and battery pack, which are based on examining existing products on the market, are described in more detail. The propeller model and a model of the electric system, together with various optimization schemes, are used to design optimal propulsion systems for a mini unmanned aerial vehicle for various goals and under various constraints. Important design trends are presented, discussed, and explained. Although the first part of the investigation is based on typical characteristics of the electric system, the second part includes a sensitivity study of the influence of variations of these characteristics on the optimal system design. = vehicle mass without the propulsion system P in = electric system input power P out = motor output power P out-max = maximum motor output power R = propeller radius R a = motor resistance r = radial coordinate S W = wing area= driver efficiency P = propeller efficiency P-ideal = ideal propeller efficiency S = electric system efficiency a = air density = maximal von Mises stress = rotational speed

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Two and three-bladed propeller design for the reduction of radiated noise

Cited by 8 publications

References 1 publication

Small-Scale Rotor Aeroacoustics for Drone Propulsion: A Review of Noise Sources and Control Strategies

Small-Scale Rotor Aeroacoustics for Drone Propulsion: A Review of Noise Sources and Control Strategies

Small-Scale Rotor Aeroacoustics for Drone Propulsion: A Review of Noise Sources and Control Strategies

Optimizing Electric Propulsion Systems for Unmanned Aerial Vehicles

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